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April 2008

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Subject:
From:
Ignacio Grossmann <[log in to unmask]>
Reply To:
Ignacio Grossmann <[log in to unmask]>
Date:
Mon, 14 Apr 2008 11:39:01 -0400
Content-Type:
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text/plain (169 lines)
The Center for Advanced Process Decision-making (CAPD)
at Carnegie Mellon University will offer a NEW revamped
six-day course entitled:

Optimization Modeling and Integrated Process Operations
     http://capd.cheme.cmu.edu/shortcourse/index.html
              ** June 12-June 18, 2008 **

This course is organized in six modules along the topics of nonlinear,
discrete and global optimization, and integrated process planning,
scheduling and control. The course stresses the application of recently
developed optimization models and methods to practical process problems.
Geared to the practitioner, this course provides practical information
and exposure to powerful and sophisticated modeling tools for process
synthesis, planning, scheduling and dynamics and control, including
treatment of uncertainty. In addition, the course emphasizes systematic
solution approaches and provides the necessary background to understand
the tools and apply them correctly and efficiently to your process problem.

Course participants will address these topics through lectures and
hands-on workshops. Specific computer methods will include modeling
tools, nonlinear and mixed integer programming codes.

You should attend if...

- you are a process engineer interested in obtaining improved solutions
for your design, planning, scheduling and control problems.

- you are an engineer interested in learning how to formulate models for
process design and synthesis, and for process and enterprise-wide
optimization, and how to solve them with advanced computer tools.

- you are a manager interested in understanding and introducing these
tools in your working environment.

- you are a researcher interested in quickly testing new process ideas
and concepts through the use of optimization-based tools.

Six course Modules (a)-(h):

Modules on Optimization Modeling to be taught from Thursday through
Saturday (June 12-15) will focus on modeling and algorithms with
applications to process optimization,
process synthesis and molecular design:
a) Nonlinear programming (Biegler, Thursday, June 12)
b) Mixed integer and disjunctive programming
     (Grossmann, Friday, June 13)
c) Global optimization and optimization under uncertainty
     (Sahinidis, Saturday, June 14)

Modules on Integrated Process Operations to be taught from Monday
through Wednesday (June 16-18) will focus on three major decision levels
in plant and enterprise-wide optimization:
f) Mixed-integer models for planning and scheduling
     (Grossmann, Monday, June 16)
g) Process dynamics and control (Ydstie, Tuesday, June 17)
h) Differential/algebraic models for real time optimization
     (Biegler, Wednesday, June 18)

The material in each module is independent and self-contained and can be
taken in any combination. A detailed description of the topics covered
in the course is given in:
http://capd.cheme.cmu.edu/shortcourse/shortcourse_details.htm

The Faculty:

Lorenz T. Biegler is Bayer Professor of Chemical Engineering at Carnegie
Mellon. He obtained his doctorate in chemical engineering at the
University of Wisconsin in 1981 and joined Carnegie Mellon University in
the same year. His research interests include process optimization and
the optimization of differential-algebraic systems. A 1985 Presidential
Young Investigator, a recipient of the 1996 ASEE McGraw Award and the
2000 AIChE Computing in Chemical Engineering Award, the CACHE Computing
in Chemical Engineering Education Award and Fellow of the AIChE. He is a
consultant for a number of industries.

Ignacio E. Grossmann, Dean University Professor and Former Head of
Chemical Engineering at Carnegie Mellon, obtained his master of science
and doctorate in chemical engineering from Imperial College, London. He
joined Carnegie Mellon in 1979 after one year of industrial experience
with the Instituto Mexicano del Petroleo. His interests are in the areas
of mixed-integer and logic based programming, process synthesis,
enterprise-wide optimization, and planning and scheduling. He was a
recipient of the 1984 Presidential Young Investigator Award, the 1995
Computing in Chemical Engineering Award, the 1997 William Walker Award
of AICHE and recipient of the 2003 INFORMS Computing Society Prize. He
is a member of the National Academy of Engineering, Fellow of AIChE and
holds an honorary doctorate from Abo Academy in Finland.

Nikolaos V. Sahinidis is the Swearingen Professor of Chemical
Engineering at Carnegie Mellon University. He obtained his Ph.D. from
Carnegie Mellon in 1990 and joined the faculty at Carnegie Mellon in
2007, after a sixteen-year long career at the University of Illinois at
Urbana. His research has focused heavily on the development of theory,
algorithms, and software for global optimization of mixed-integer
nonlinear programs, with applications in X-ray imaging, bioinformatics,
and molecular design. His BARON global optimization software has found
applications in fields ranging from computational chemistry to energy
modeling. His research activities have been recognized by several
awards, including the 2004 INFORMS Computing Society Prize and the 2006
Beale-Orchard-Hays Prize from the Mathematical Programming Society.


Erik Ydstie is Professor in the Department of Chemical Engineering. He
obtained his doctorate in chemical engineering from Imperial College,
London. He joined Carnegie Mellon in 1992 after spending several years
at the University of Masachusetts, Amherst. His interests are in the
real time adaptive control and optimization, dynamics and control of
complex networks, design and control of particulate processes with
application to solar cell production, and design and control of
multi-phase reactor systems. He was Director of R&D at ELKEM ASA in
1999-2000, and board member and chairman of board SolarSilicon , Oslo ,
1999 2000. He is recipient of the 2007 Computing in Chemical
Engineering Award of AIChE.

Administrative Details:

Time: Six days, Thursday through Saturday, Monday through Wednesday,
8:30 am to 6:00 pm. Roberts Hall, Singleton Room, Carnegie Mellon
University.

Lodging: Housing arrangements may be made directly with the Holiday Inn
at University Center (412-682-6200), which is approximately four (4)
blocks from the CMU campus. A block of rooms has been reserved for the
participants. When reserving your room please state that you are with
CMU- Chemical Engineering CAPD group. The current rate is approximately
$120 + tax per night for a single room plus parking fee of $17 per day.

Fees: The fees include all instructional materials, background
materials, a manual of notes, computer use, parking, a continental
breakfast each day, and a closing luncheon. In addition a free copy of
Chemical Engineering Optimization Problems with GAMS, which includes
PC-based software will be provided as well as a copy of Systematic
Methods of Chemical Process Design by Biegler, Grossmann, and Westerberg.

Note: a 25% discount is available to industrial affiliates of the CAPD
Consortium. Please make checks payable to: Carnegie Mellon University,
Department of Chemical Engineering.

Registration: Register by completing and returning the form in:
http://capd.cheme.cmu.edu/shortcourse/register.htm
If you need specific information please contact Toni McIltrot at
[log in to unmask] (Tel: 412-268-3573; Fax: 412-268-7139). As the
course format limits class size, please notify us 10 days before the
start of a session should you wish to transfer or cancel your
registration. A $250 service charge is assessed if notification of
cancellation is received after that time.

The price for taking the modules is as follows:
One module out of six: $560
Any of two modules out of six: $960
Any of three modules: $1,600
All six modules: $2,800

For members of CAPD there is a 25% discount.
One module out of six: $420
Any of two modules out of six: $720
Any of three modules: $1,200
All six modules: $2,100

Testimonials of Past Participants...

Excellent course that covers a lot of topics and discusses most of the
important issues within these topics.

I got a lot out of the course-excellent job!

All lecturers were excellent!

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